Umberto Agrimi

4.5k citations
101 papers · 2.8k indexed · h-index 34

Umberto Agrimi

101 papers receiving 2.7k citations

Peers

Umberto Agrimi
Comparison fields: 5 of 110
  • Neurology 930
  • Nutrition and Dietetics 951
  • Molecular Biology 2.3k
  • Agronomy and Crop Science 133
  • Parasitology 71
Replace C. J. Gibbs with:
C. J. Gibbs United States
S. R. Dlouhy United States
Ben C. Maddison United Kingdom
Eric Morignat France
James D. Murray United States
H. Hamann Germany
Don A. Samuelson United States
Imre Oláh Hungary
Anthea Springbett United Kingdom
S. M. Schmutz Canada
Umberto Agrimi relative to C. J. Gibbs United States C. J. Gibbs's profile →
Citations per field
00.5×10.8×
C. J. Gibbs · 1×
Citations per year

Countries citing papers authored by Umberto Agrimi

Since Specialization
Citations

This map shows the geographic impact of Umberto Agrimi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Umberto Agrimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umberto Agrimi more than expected).

Fields of papers citing papers by Umberto Agrimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umberto Agrimi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Umberto Agrimi. The network helps show where Umberto Agrimi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Umberto Agrimi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Umberto Agrimi Line = papers co-authored together Umberto Agrimi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202413
3 20241
4 20223
5 201744
6 201739
7 201658
8 201614
9 201511
10 201382
11 20124
12 201158
13
Cross-genotype transmission of scrapie strains results in the emergence of strain variants.
20111
14 201116
15
The AHQ allele is a risk factor for atypical scrapie Nor98 in goat.
20091
16 200647
17 200570
18 200539
19 200360
20
Feeding strategies of the viper Vipera ursinii ursinii (Reptilia: Viperidae) in the appennines
199220

About Umberto Agrimi

Umberto Agrimi is a scholar working on Neurology, Nutrition and Dietetics and Molecular Biology, having authored 101 papers that have together received 2.8k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (75 papers), Trace Elements in Health (41 papers), Neurological diseases and metabolism (28 papers), Metallurgy and Material Science (10 papers), Salmonella and Campylobacter epidemiology (4 papers), RNA regulation and disease (4 papers), Animal Virus Infections Studies (3 papers) and Amphibian and Reptile Biology (3 papers). The work is most often cited by research in Neurology (930 citations), Nutrition and Dietetics (951 citations) and Molecular Biology (2.3k citations). Umberto Agrimi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Romolo Nonno, Gabriele Vaccari, Michele Angelo Di Bari, Giovanni Di Guardo, Laura Pirisinu, Elena Esposito, Michela Conte, Barbara Chiappini, Claudia D’Agostino and Stefano Marcon. Their work appears in journals such as PLoS Pathogens, Journal of General Virology, Veterinary Record, Emerging infectious diseases and Journal of Virology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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